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AI is embedded in everyday life, business, government, medicine and more. At IBM, we are helping people and organizations adopt AI responsibly. Only by embedding ethical principles into AI applications and processes can we build systems based on trust.

Principles

The guiding values that distinguish IBM’s approach to AI ethics

The purpose of AI is to augment human intelligence

At IBM, we believe AI should make all of us better at our jobs, and that the benefits of the AI era should touch the many, not just the elite few.

Data and insights belong to their creator

IBM clients’ data is their data, and their insights are their insights. We believe that government data policies should be fair and equitable and prioritize openness.

Technology must be transparent and explainable

Companies must be clear about who trains their AI systems, what data was used in training and, most importantly, what went into their algorithms’ recommendations.

Pillars

Our foundational properties for AI ethics

Explainability

Good design does not sacrifice transparency in creating a seamless experience.

Fairness

Properly calibrated, AI can assist humans in making fairer choices.

Robustness

As systems are employed to make crucial decisions, AI must be secure and robust.

Transparency

Transparency reinforces trust, and the best way to promote transparency is through disclosure.

Privacy

AI systems must prioritize and safeguard consumers’ privacy and data rights.

From principle to practice

Discover how IBM can help you build and operationalize trusted AI workflows

AI Ethics Board

Putting principles into action across the organization

The Board was established as a central, cross-disciplinary body to support a culture of ethical, responsible, and trustworthy AI throughout IBM.

Our mission is to support a centralized governance, review, and decision-making process for IBM ethics policies, practices, communications, research, products and services. By infusing our long-standing principles and ethical thinking, the Board is one mechanism by which IBM holds our company and all IBMers accountable to our values.

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Read the 2020 Corporate Responsibility Report →

Francesca Rossi

Francesca Rossi

IBM fellow and AI Ethics Global Leader

Christina Montgomery

Christina Montgomery

Vice President and Chief Privacy Officer

Collaborations and initiatives

Wide-ranging partnerships and internal initiatives furthering AI ethics

World Economic Forum

Fosters global partners to pilot innovative AI policy and governance frameworks

Notre Dame-IBM Tech Ethics Lab

Addresses ethical concerns raised by the use of technologies to address society’s problems

European Commission Expert Group on AI

Defines the ethics guidelines for trustworthy AI

Rome Call for AI ethics

IBM partners with the Vatican to endorse ethical guidelines around AI

Partnership on AI

Brings together diverse global voices to define best practices for beneficial AI

Linux Foundation AI

Drives the development of open-source trusted AI workflows

Be Equal

Champions diversity, inclusion and systemic, sustainable improvement for people in every community

Center for Open Source Data and AI Technologies: Trusted AI

Maintains projects created by IBM Research that improve trust in machine learning systems

Advancing AI ethics beyond compliance

Explores how AI ethics can progress from abstract theories to concrete practices

Trustworthy AI

Discover how IBM is building trust into its products and solutions